Publications
Publications
Self-supervised contrastive learning enables robust electrocardiogram-based cardiac classification
CLASS-M: Adaptive stain separation-based contrastive learning with pseudo-labeling for histopathological image classification
Changes in the Neighborhood Built Environment and Chronic Health Conditions in Washington, DC, in 2014-2019: Longitudinal Analysis
F2FLDM: Latent Diffusion Models with Histopathology Pre-Trained Embeddings for Unpaired Frozen Section to FFPE Translation
HistoEM: A Pathologist-Guided and Explainable Workflow for Histopathological Image Analysis Using Expectation Maximization
Performance of off-the-shelf machine learning architectures and biases in low left ventricular ejection fraction detection
Examining the role of passive design indicators in energy burden reduction: Insights from a machine learning and deep learning approach
Improving uranium oxide pathway discernment and generalizability using contrastive self-supervised learning
Multi-Task Classification for Improved Health Outcome Prediction Based on Environmental Indicators
Improving robustness for model discerning synthesis process of uranium oxide with unsupervised domain adaptation
Prediction of Obstructive Lung Disease from Chest Radiographs via Deep Learning Trained on Pulmonary Function Data
Determining uranium ore concentrates and their calcination products via image classification of multiple magnifications
A new approach for quantifying morphological features of U3O8 for nuclear forensics using a deep learning model
